all InfoSec news
Intrusion Detection Systems Using Support Vector Machines on the KDDCUP'99 and NSL-KDD Datasets: A Comprehensive Survey. (arXiv:2209.05579v1 [cs.CR])
Sept. 14, 2022, 1:20 a.m. | Mikel K. Ngueajio, Gloria Washington, Danda B. Rawat, Yolande Ngueabou
cs.CR updates on arXiv.org arxiv.org
With the growing rates of cyber-attacks and cyber espionage, the need for
better and more powerful intrusion detection systems (IDS) is even more
warranted nowadays. The basic task of an IDS is to act as the first line of
defense, in detecting attacks on the internet. As intrusion tactics from
intruders become more sophisticated and difficult to detect, researchers have
started to apply novel Machine Learning (ML) techniques to effectively detect
intruders and hence preserve internet users' information and overall …
datasets detection intrusion intrusion detection machines support survey systems
More from arxiv.org / cs.CR updates on arXiv.org
Jobs in InfoSec / Cybersecurity
SOC 2 Manager, Audit and Certification
@ Deloitte | US and CA Multiple Locations
Regional Leader, Cyber Crisis Communications
@ Google | United Kingdom
Regional Intelligence Manager, Compliance, Safety and Risk Management
@ Google | London, UK
Senior Analyst, Endpoint Security
@ Scotiabank | Toronto, ON, CA, M1K5L1
Software Engineer, Security/Privacy, Google Cloud
@ Google | Bengaluru, Karnataka, India
Senior Security Engineer
@ Coinbase | Remote - USA